I built a scikit-learn for RSI [P]
![I built a scikit-learn for RSI [P]](https://preview.redd.it/trkro8qdytyh1.gif?width=640&crop=smart&s=0d668e31132a75d0636098597f27bd70c96122b3 "I built a scikit-learn for RSI [P]") | After reading a bunch of RSI papers, I keep coming back to familiar problems from RL and evolutionary search:
That motivated us to build Gear, an open-source, meta-learning-inspired framework. A task agent produces execution traces; a meta-agent uses those traces and evaluation feedback to improve prompts, tools, workflows, and context management. Gear separates search decisions from execution and evaluation. Our goal is a scikit-learn for RSI, making approaches such as GEPA, RRSI, and Harness² easier to implement and compare. We currently have a working GEPA variant with shared failure diagnosis and staged evaluation. With GPT 5.6 Luna held at medium reasoning effort, we observed these task pass rates:
At max effort on Marketing, Luna with the optimized harness reached 88.88% objective completion, versus 84.08% for Astra + Codex. Strict task pass rates were 53% versus 57%, so the advantage was in partial completion. Separately, with both models using the same optimized DSH at max effort, Luna’s estimated API cost averaged $0.0568 per task versus $1.1858 for Astra—95.21% lower, excluding optimization and infrastructure costs. We’d welcome feedback on candidate evaluation and diversity preservation under limited budgets. [link] [comments] | |||||||||||||||
Coding Wrapped
See how you really vibe code with Claude Code & Codex
GitHub Copilot Fusion
GitHub's AI coding agent that picks and combines models
AC Bridge
Your smart lights show when Claude Code or Codex needs you.
ChatGPT and Codex usage limits merging
I stopped juggling Claude Code, Codex, and other coding agents after finding this open-source app
While increasingly capable AI coding agents have taken a lot of the grunt work out of coding, they've also introduced a bunch of new problems. Beyond increasing the amount of vibe-coded slop you'll see everywhere and fueling fears that AI is going to replace developers, there's another problem that doesn't get talked about nearly enough: managing the very tools doing the coding for you.
I Wrote a Claude Code SEO Skill, and Testing It Found Two Bugs on Day One
Claude Code skills are just folders. A SKILL.md with a name and a description, plus whatever scripts you want the model to run. When the description matches what you asked for, Claude loads the instructions and follows them. That's the whole mechanism, and it's why SEO is a good fit: most on-page checks are deterministic, and a model is much better at explaining a result than at counting characters in a <title> tag.
So I wrote one. It checks a single URL for the on-page basics and hands Claude a JSON report to turn into a fix list. Then I ran it against five real pages and one fake one before trusting it. It broke twice, on pages I'd have assumed were safe.
The layout
.claude/skills/seo-page-check/
├── SKILL.md
└── scripts/
└── check_page.py
Project-level skills live in .claude/skills/ inside the repo; personal ones go in ~/.claude/skills/. Claude Code reads the frontmatter of every skill at startup and only pulls in the body when the description matches the task, so a skill you're not using costs almost nothing.
SKILL.md
name: seo-page-check
description: Check one URL for on-page SEO problems (title, meta description, canonical, robots/noindex, H1, JSON-LD, image alt text) and return a prioritized fix list. Use when the user asks to audit, check, or review the SEO of a specific page or URL.
# SEO page check
1. Run the checker on the URL the user gave:
`python3 .claude/skills/seo-page-check/scripts/check_page.py <url>`
2. Read the JSON it prints. Do not re-fetch the page yourself unless the script failed.
3. Report in this order, and skip any section with nothing in it:
- **Blockers**: anything in `blockers` (noindex, non-200 status, canonical pointing to another host).
- **Fix next**: items in `warnings`, one line each, with the current value quoted.
- **Fine**: one line listing what passed.
4. For each title or description warning, suggest one rewrite that keeps the page's main keyword. Do not invent keywords that are not on the page.
5. Never claim a ranking impact. Say what is wrong and what to change.
Two choices in there are deliberate.
The description lists the actual checks. Claude decides whether to load a skill from the description alone, so "SEO helper" would be a bad one. It's vague, and it would match half of what you type in a marketing repo. Naming the checks and the trigger ("a specific page or URL") keeps it from firing when you ask for keyword ideas.
Rule 5 is there because models love writing "this will improve your rankings." Nobody knows that from a page check, so the skill forbids it.
The script
Standard library only, so it runs anywhere Claude Code does without a pip install:
#!/usr/bin/env python3
"""Fetch one URL and report on-page SEO issues as JSON. Standard library only."""
import json, sys, urllib.error, urllib.request
from html.parser import HTMLParser
from urllib.parse import urlparse
class Page(HTMLParser):
def __init__(self):
super().__init__()
self.title, self.in_title, self.in_h1 = "", False, False
self.meta, self.canonical, self.h1s, self.jsonld = {}, None, [], 0
self.imgs, self.imgs_no_alt, self.title_done = 0, 0, False
def handle_starttag(self, tag, attrs):
a = dict(attrs)
if tag == "title" and not self.title_done: self.in_title = True # skip SVG <title>s
elif tag == "meta" and a.get("name"):
self.meta[a["name"].lower()] = a.get("
The candle: Spooky experience with Gemma 4
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine
What I Built
The Candle is a small haunted room in your browser. There's one candle on the floor of an old mansion's drawing room. Blow into your microphone (or hold the mouse near the flame) and it goes out. In the dark, something answers.
Five restless ghosts live in the house. Each one has its own voice, its own backstory, and a secret it won't give up easily. You talk to them by choosing replies written on scraps of old paper, and the scrap you pick burns as you say it. Relight the candle and the ghost is gone, and the next time it goes out, someone else may be waiting.
The ghosts know each other. Every conversation gives you a piece of what happened in this house, and you only get the whole story by asking the right questions, to the right ghost.
For the "Ghost in the Machine" theme, I took it literally: the voice in the dark is an open-weight model.
Demo
Try it live (use headphones, and let it have your mic if you want to blow the candle out for real):
Code
dumnicki
/
the-candle
A spooky virtual experience made for Hacktoberfest Open-Source AI Challenge: Week 4
Ghost in the Candle
A dark room, a candle, and a ghost that answers in its own voice. This is a DEV Hacktoberfest Open-Source AI Challenge week 4 project ("Ghost in the Machine"). The plan, including the Gemma 4 and Backboard notes, is PLAN.md.
Gemma 4 writes the ghost's line and both replies. Backboard is the default client and is pinned to the open-weight model google/gemma-4-26b-a4b-it through OpenRouter. Ollama (gemma4:e4b) and any local OpenAI-compatible server can take that place. ElevenLabs is the default voice, behind the same kind of swap, with a Piper stub for the open fallback.
The files in ghosts/ contain each ghost's secret. Reading them spoils the story.
The page is a quiet room with a candle. Blow into the microphone, or hold the left mouse button and bring the cursor close, and the flame goes out. A ghost is chosen at random. You…
MIT licensed. Fair warning: the files in ghosts/ contain every ghost's secret, so reading them spoils the story.
How I Built It
- Gemma 4 writes the ghosts. Every line and both reply options come from Gemma 4 (google/gemma-4-26b-a4b-it), called through Backboard, which also keeps each conversation's thread so the ghost remembers what you've said. The model never sees more than one ghost's profile: its personality, its ties to the others, and how much of its secret it's allowed to reveal at this point in the conversation.
- ElevenLabs gives them a voice. Each ghost has its own library voice and room effect, from a small room to a long tunnel, and the lines carry emotion tags like [whispers] or [sighs] that the voice actually performs.
- *The room is plain TypeScript. A Vite front end with no framework: a painted background, a candle whose flame bends with your breath or the cursor, a flickering glow, and random creaks and footsteps over a quiet room-tone loop. The server is a small Hono API.
- It's hosted on Render as a single web service that serves both the API and the room. The hardest part was the moment the candle goes out. The first spoken line can take a while to generate, so instead of showing a spinner, the game uses the wait: the room goes fully dark, you hear something arrive, and a line like "You feel shivers down your spine" fades in. By the time you're unsettled, the ghost speaks.
The game also degrades gracefully. With no voice key it plays with subtitles only.
Why Does Open Innovation Matter?
Because the ghost doesn't have to live in someone else's cloud. Gemma 4 is open-weight, so the same house can run on Ollama on my own machine with the network turned off, and the ghosts still answer. The model is swappable behind one small interface, and so is the voice. Piper is wired in as the open speech fallback, though it's still a stub.
Open models made this project possible to build in a week, by one person, for free, and I could see and change every piece of it.
The Spirit of It
The best moment is the second right after the flame dies. The room is black, the voice hasn't arrived yet, and you're not sure if anything will. Then someone speaks, and they remember things. I wanted that feeling of a house that's been waiting a long time for someone to sit down and listen.
Prize Categories
- Best Use of Gemma
- Best Use of Backboard
- Best Use of ElevenLabs
- Best Use of Render
Apple’s ‘Write with Siri’ prompt was driving me crazy. Here’s how I shut it off
There’s a lot to love about iOS 27 and macOS 27, the new operating systems released for iPhone and Mac last month. The Liquid Glass design language now has a fluidity and polish that it lacked when introduced last year in iOS 26 and macOS 26.
But as much as I love the new operating systems, there’s one thing that has driven me crazy ever since I updated my devices: the “Write with Siri” tool, which appears as a popover floating toolbar on the Mac and a big button above the keyboard on iPhone.
The tool, part of the new Siri AI, helps users generate text nearly anywhere—in a document, email, or messaging app. Unfortunately, it’s there even if you don’t want to use it. (And Apple, I never do. I don’t need help from generative AI in deciding how I should respond to my mom’s text inquiring when I’ll be over for dinner next).
Its presence is not only pointless for many who don’t need machine help with their writing, but it’s distracting, especially on the Mac, where a stray mouse click can easily expand the popover when you are trying to edit text. Thankfully, there is a way you can disable Write with Siri—though Apple doesn’t make it obvious.
How to disable ‘Write with Siri’ on an iPhone or iPad
On the iPhone, the Write with Siri tool primarily takes the form of a big glaring button above the keyboard on iOS 27. It’s there by default, whether you want it or not. And frustratingly, if you do want to disable it, you can’t do so where you would naturally assume you could: in the Siri section of the Settings app.
But there is a place where you can. It’s hidden under the Content & Privacy Restrictions of the Screen Time settings in iOS 27. Here’s how to find those settings and shut Write with Siri down:
- Open the Settings app.
- Tap Screen Time.
- Under the Restrictions heading, tap Content & Privacy.
- Toggle the Content & Privacy Restrictions switch to on (green).
- Tap Siri.
- Tap Writing Assistance.
- Tap “Don’t Allow.”
Now, when your iPhone’s keyboard next appears, the big “Write with Siri” button sitting atop the keyboard should be gone, replaced by the default predictive text choices that have been a staple of iOS for years (and which are easier to disable, by going to Settings>General>Keyboard).
How to disable ‘Write with Siri’ on a Mac
On a Mac, things are a little less straightforward. Common sense says you should be able to follow the steps above to disable Write with Siri. But in my testing, even after turning off the Writing Assistance toggle (in the Siri content restrictions in macOS’s Screen Time settings), the annoying “Write with Siri” floating bubble still appears wherever you type in apps, like Pages. I suspect that this is an unresolved bug.
Thankfully, there’s another option for turning off Write with Siri on the Mac (though it is more restrictive). You can do this by disabling the new Siri AI in one of two ways.
The first is by going to the Siri settings in the Settings app:
- Open the Settings app.
- Click Siri.
- Click Turn Off Siri.
- Click the next Turn Off Siri button, too.
Alternately, you can disable the new Siri AI and default to the old, less robust version, which does not support the Write with Siri popover floating toolbar.
To revert to the old version of Siri:
- Open the Settings app.
- Click Screen Time.
- Under the Restrictions heading, click Content & Privacy.
- Toggle the Content & Privacy Restrictions switch to on (blue).
- Click Siri.
- On the next screen, under “Allowed Siri Version,” select “Siri Classic” from the drop-down menu.
- Click Done.
Apple doesn’t make disabling ‘Write with Siri’ straightforward—and that’s probably by design
Big Tech has spent hundreds of billions of dollars on artificial intelligence development over the past five years—and there’s no sign that spending will be slowing anytime soon. It’s a huge bet, and in order for it to pay off, the tech giants need everyday users to adopt their AI tools en masse.
For many consumers, that adoption has felt forced upon them. Google search now surfaces AI answers before search results, Meta has shoved its AI assistant into nearly every app it makes, and Microsoft has integrated AI across Windows.
Apple, of course, has spent far less on AI buildout than its competitors have, but that hasn’t stopped it from jumping on the AI train. The headline feature of its new operating systems this year was Siri AI, and its newest hardware product, the HomeView, relies entirely on artificial intelligence.
That’s not to mention the fact that investors seem to be demanding Apple “catch up” to its other Big Tech competitors to become a major player in the space. So it’s no wonder that Apple, too, wants to put its AI offerings within as easy reach as possible—even if its users haven’t asked for it.
Increasing Siri AI usage is surely a goal the company has, so it’s not much of a surprise that Apple has made disabling its individual features less than straightforward, but now you know you at least can. I wonder what Siri would say about that?
Computer Simulations Suggest Building Blocks of Life Didn't Arrive on Prehistoric Comets
Read more of this story at Slashdot.
[OpenAI] tibo 发重置卡了 注意查收（day 27）
https://codex-reset.com/zh/#signals
已到账 12 月 1 号到期
[分享创造] 地图标记工具
开发了一个地图标记工具，可以把自己去过的地方记录一下，并且也可以做旅游规划。纯 AI 编程的产品，一行代码都没有 review 。
[OpenAI] 恶心了， ChatGPT 要跟 Codex 共用额度了
今天收到邮件
Hello,
In the coming weeks, we’ll start testing a combined experience for Chat and Work tabs in ChatGPT with a small group of users. We’ll use their feedback to improve the experience before bringing it to more people.
This will enable you to move from exploring an idea to having ChatGPT carry it through, all in one place. You can bring in your files and plugins and ask ChatGPT to build a website, create a presentation, or do things for you on the web, while reviewing and guiding its work. Codex will remain a separate experience in the ChatGPT desktop app.
A shared allowance for ChatGPT and Codex
As part of this unified experience, your use of ChatGPT and Codex will draw from the same allowance in the coming weeks. We’re preparing carefully for this transition to help prevent disruption to your workflows. We expect most users won’t need to wait for their usage to reset more often than they do today. Usage will depend on model and task, with more advanced models and complex tasks using more of your allowance. Unlimited Instant is included in your plan and will not draw from your usage.
You will be able to see your combined remaining usage and reset times in Settings → Usage. If you use your full allowance, you can wait for it to reset, upgrade your plan, or buy credits to continue using eligible features.
The OpenAI team
意味着以后 Chat 模式也不能随便用了。
[Cursor] cursor 给俺烧光了
买的$20 的 Pro ，3 天就把 1 个月的额度烧没了。
试了一下 deepseek ，是便宜，但是 即便是 deepseek-v4-pro 也明显感觉到上下文变短了。稍微多一点就贵人多忘事了。
买了一个 On Demand Spending Limit <= $20 ，一晚上 20 刀就没有了。这也太快了
朋友们是怎么搞定性价比优秀的 coding agents 的？
透视A股三季报：AI算力领跑，材料量价齐升，地产和消费寻底｜看财报
（本文作者为 价值刻度，钛媒体经授权发布）
10月31日，A股2026年三季报宣告收官，5572家上市公司合计实现营收56.65万亿元，比上年同期增长5.42%；归母净利润5.10万亿元，同比增长7.76%。超六成公司录得营收增长，逾七成实现盈利，整体情况良好，韧性凸显。
不过，Q3单季来看，总体营收19万亿元，同比仅增长2.22%；归母净利润1.53万亿元，同比下滑11.02%。
分板块来看，分化明显，行业冷暖一目了然：最赚钱的依然是金融业，工商银行以3431.10亿元净利润继续领跑A股；日子最难过的还是房地产，合计亏损531.87亿元。
盈利增长和下滑的行业则近乎五五开。科技赛道强势领跑，在AI算力产业链带动下信息技术板块的营收、归母净利润分别录得31.95%和140.25%的增速；材料板块不遑多让，量价齐升催化叠加低基数效应，营收、净利分别录得14.06%、54.03%的增速，排名第二；日常消费则净利增速下滑最多，主因生猪、白酒等集体承压。
金融依然最赚钱，房地产日子最难过
从营收来看，前三季度共有3437家上市公司实现同比正增长，占比超过62%。其中，416家增长超50%，138家增长超100%。首药控股-U（688197.SH）、领先股份（603991.SH）、行云科技（300209.SZ）分别以4561.73%、1977.44%、1896.66%的营收增速，位列前三。三者分属不同行业，且均有偶发因素、基数偏低，并不具备代表性。
盈利层面，共有4076家公司实现盈利，占比超过73%。其中，增速超50%的高达1208家，超100%的769家。赚钱能力最强的依然是金融业，前三季度合计赚了2.27万亿元，但增速略微下滑1.51%。国航远洋（920571.BJ）、澳福科技（688021.SH）、德明利（001309.SZ）分别以98070.64%、34856.86%、32399.91%的增长率，摘得前三甲。
分行业来看更能说明问题，11个wind一级行业中，7个录得营收正增长，包括信息技术、材料、能源、医疗保健、工业、日常消费和金融；5个盈利录得同比增长，包括信息技术、材料、房地产、能源和医疗保健。
营收最拉胯的还是房地产行业，同比减少24.93%，公用事业、通讯服务、可选消费均只是微降。
盈利方面分化更强，日常消费、公用事业、通讯服务、可选消费分别同比下降32.36%、21.96%、16.72%、10.69%，工业、金融微降3.82%和1.51%；但日子最难过的依然是房地产，合计亏损531.87亿元。
值得注意的是，日常消费中，生猪板块全部巨亏，11家生猪养殖公司合计亏损达到222.17亿元；向来高毛利的白酒也在深度调整中寻底，均给板块增速带来负面影响。
信息技术盈利暴增140.25%，AI算力产业链领跑
延续2025年强势表现，信息技术在2026年前三季度拔得双头筹，且增速显著放大。
前三季度，信息技术板块实现营收6.14万亿元、归母净利润2191.59亿元，分别增长31.95%、140.25%，遥遥领先。而2025年，该板块营收、净利的增速分别为15.26%、32.93%，彼时的排名分别为第一、第二。
具体到信息技术板块内的1109家公司中，共有770家营收正增长，占比接近七成。其中，增速超50%的达145家，超100%的49家。前五名分别为长鑫科技（688825.SH）、大普微-UW（301666.SZ）、东芯股份（688110.SH）、联讯仪器（688808.SH）和普冉股份（688766.SH），增速均在300%以上。
营收领跑同时，信息技术的盈利增速也很夯。板块内576家实现归母净利润正增长，占比过半，其中，实现翻倍的高达222家，10倍以上的25家。前五名分别为德明利、佰维存储（688525.SH）、长江通信（600345.SH）、国科微（300672.SZ）和利扬芯片（688135.SH），增速均在45倍以上。
再细分来看，带领全行业业绩暴增，主要是AI算力产业链，比如存储、芯片等居前。长鑫科技前三季度实现营收2690.24亿元，同比增长738.51%；归母净利润1320.40亿元，同比增长2600.77%。业绩暴增源于在AI、智能终端等新兴应用的带动下，存储芯片市场景气度不断攀升，强劲的终端需求直接拉动了公司产品的出货量与产出规模的稳步扩大。且公司在最新的业绩会上直言，“预计明年营收仍将保持增长。”
同为存储赛道的德明利、佰维存储等亦为TOP级选手，盈利增速分别高达323倍和287倍。国海证券研报指出，当前存储板块处于Al驱动的结构性景气周期，高端HBM、服务器存储供需趋紧，普通消费级存储弹性减弱；行情由前期单纯张价预期驱动，逐步转向业绩兑现验证阶段。
利扬芯片、国科微、必易微（688045.SH）等芯片环节也表现强劲，净利增速均在32倍以上。中原证券研报表示，当前AI应用正在加速渗透至编程、影视游戏、数学研究、网络安全等领域，物理AI的突破进程也在加速。Agent自主化的执行意味着模型被调用的频次也在大幅增长，让算力供应持续不足，算卡租赁价格继续呈现走高趋势。相对而言，受到缺芯因素的影响，国内算力紧张程度更高。随着2027年国产卡产能的释放和新卡的推出，国内算力需求有望得到更好的满足。我们继续对国内AI算力产业发展持乐观预期，建议持续重点关注AI产业链的上游及中游环节，包括半导体设备、芯片、存储、光通信、服务器、AIDC、云计算等环节。
周期发威，材料向上
信息技术之外，材料板块的业绩也可圈可点。前三季度，该板块共实现营收8.76万亿元，同比增长14.06%；归母净利润5053.32亿元，同比增长54.03%，均排在第二名。
具体到板块内部，875家材料企业中有651家营收实现正增长，占比超74%；增速超50%的有90家，超100%的有27家。前五名分别为领先股份、融捷股份（002192.SZ）、丰元股份（002805.SZ）、佛塑科技（000973.SZ）、盛新锂能（002240.SZ），增速均在275%以上。
盈利方面，共有467家录得正增长，占比过半；增速超50%的261家，超100%的179家。前五名分别为山东玻纤（605006.SH）、赣锋锂业（002460.SZ）、东岳硅材（300821.SZ）、恒光股份（301118.SZ）和万里石（002785.SZ），增速均在36倍以上。
需要注意的是，材料行业包括了有色金属、锂电材料等多个细分行业，而他们均属于周期性行业。前三季度的业绩大增，多数是受益于下游需求扩容带来的量价齐升。
以锂盐企业赣锋锂业、天齐锂业举例，前三季度盈利分别录得195倍、30倍的增长，核心驱动是锂产品的量价齐升。碳酸锂期货价格从年初的10万元/吨上方震荡上行，5月15日盘中摸至年内新高20万元/吨，之后虽震荡下行至Q3末的11万元/吨，但相较去年1-9月均在5-9万元低位区间，同比升幅明显。同期，多公司产能释放，进而实现营收、净利的双增。同为锂电产业链上的湖南裕能、恩捷股份、龙蟠科技等亦属此类。
“有矿的”各色金属企业同样受益。今年以来，与AI算力、半导体等强相关的锗、铟、锑、钽、钼等战略小金属涨幅领跑；工业金属里铜、铝、锌、锡的价格也有所上涨；轻稀土在供给管控和海外磁材补库驱动下，价格中枢抬升。
以云南锗业为例，前三季度录得营收13.64亿元、归母净利润1.76亿元，同比增长70.71%和869.79%，主要就得益于其磷化铟、锗产品等量价齐升。SMM数据显示，截至10月23日，国内4英寸、3英寸、2英寸磷化铟衬底均价分别为7100元/片、3900元/片、1275元/片，年初至今涨幅分别为64.9%、97.0%、5.8%。
值得一提的是，材料板块的多企业业绩暴增，实际还叠加了低基数效应。比如山东玻纤、恒光股份及多家锂盐企业2025年前三季度其实录得亏损。
另外，周期威力不仅在上行期体现，下行时亦很明显。比如在笔者此前文章《锂周期再摇摆：锂企前三季度业绩炸裂，Q3环比转弱｜行业风向标》中就曾提到，今年第三季度，随着锂价快速回落，锂企Q3业绩环比普遍承压。若后续锂价继续不乐观，该板块的业绩将集体回落。（本文首发于钛媒体APP，文｜价值刻度，作者｜桃子）
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